Multi-Agent Coordination for Service Composition

  • Junzhou LuoEmail author
  • Wei Li
  • Bo Liu
  • Xiao Zheng
  • Fang Dong
Part of the Advanced Information and Knowledge Processing book series (AI&KP)


Service composition is an active ongoing area of research in the field of Service-Oriented Computing. One of the research challenges is to provide a mechanism for the autonomous search and selection of suitable service provid-ers for each service type within service composition while guaranteeing the end-to-end QoS. A multi-agent based QoS-aware Service Composition solution (MQSC) is presented in this chapter. MQSC not only can provide a mechanism for the dynamic service composition but also can ensure the end-to-end QoS of the composite service.


Service Composition Service Selection Composite Service Task Graph Candidate Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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This work is supported by the National Natural Science Foundation of China under Grants No. 90604004 and 90412014, Jiangsu Provincial Natural Science Foundation of China under Grants No. BK2007708 and Jiangsu Provincial Key Laboratory of Network and Information Security under Grants No. BM2003201.


  1. 1.
    B. Benatallah, Q. Z. Sheng and M. Dumas. The Self-serve Environment for Web Services Composition. IEEE Internet Computing, 1:40–48, 2003.CrossRefGoogle Scholar
  2. 2.
    M. Berger, M. Bouzid and M. Buckland. An Approach to Agent-Based Service Composition and Its Application to Mobile Business Processes. IEEE Transaction on Mobile Computing, 2(3):197–206, 2003.CrossRefGoogle Scholar
  3. 3.
    BPEL4WS Consortium. Business Process Execution Language for Web Services, 2003.
  4. 4.
    G. D. Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, 9:317–365, 1998.CrossRefGoogle Scholar
  5. 5.
    F. Casati, S. Ilnicki and L. J. Jin. Adaptive and Dynamic Service Composition in eFlow. In Proceedings of CAiSE00, pages 13–31, 2000.Google Scholar
  6. 6.
    Y. Charif-Djebbar and N. Sabouret Dynamic Service Composition and Selection through an Agent Interaction Protocol. In Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence and International Agent Technology Workshops, pages 105–108, 2006.Google Scholar
  7. 7.
    M. Dorigo, L. M. Gambardella. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation, 1(1):53–66, 1997.CrossRefGoogle Scholar
  8. 8.
    F. Ensan, M. Kahani and E. Bagheri. Web Service Composition based on Agent Societies and Ontological Concepts. In Proceedings of IEEE International Conference on Computational Cybernetics, pages 1–10, 2006.Google Scholar
  9. 9.
    J. Hendler and D. McGuinness. The DARPA Agent Markup Language. IEEE Intelligent Systems, 15(6):72–73, 2000.Google Scholar
  10. 10.
    R. Hull, M. Benedikt and V. Christophides E-Services: A Look Behind the Curtain. In Proceedings of the 22nd ACM Symposium on Principles of Database Systems pages 1–14, 2003.Google Scholar
  11. 11.
    IBM. Business Process with BPEL4WS: Learning BPEL.
  12. 12.
    S. Liu, J. Lin and Z. Lin. A Shortest-path Network Problem Using an Annealed Ant System Algorithm. In Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science, pages 245–250, 2005.Google Scholar
  13. 13.
    S. Liu, Y. Liu and F. Zhang. A Dynamic Web Services Selection Algorithm with QoS Global Optimal in Web Services Composition. Journal of Software, 18(3):646–656, 2007.CrossRefGoogle Scholar
  14. 14.
    Z. Maamar, S. K. Mostefaoui and H. Yahyaoui. Toward an Agent-Based and Context-Oriented Approach for Web Services Composition. IEEE Transaction on Knowledge and Data Engineering, 17(5):686–697, 2005.CrossRefGoogle Scholar
  15. 15.
    S. McIlraith and T. C. Son. Adapting Golog for Composition of Semantic Web Services. In Proceedings of KR02, pages 482–496, 2002.Google Scholar
  16. 16.
    B. Medjahed, A. Bouguettaya, and A. K. Elmagarmid. Composing Web services on the Semantic Web. The International Journal on Very Large Data Bases, 12(4):333–351, 2003.CrossRefGoogle Scholar
  17. 17.
    D. A. Menasce. Composing Web Service: A QoS View. IEEE Internet Computing, 8(6):88–90, 2004.CrossRefGoogle Scholar
  18. 18.
    I. Muller and R. Kowalczyk. Service Composition through Agent-based Coalition Formation. In Proceedings of the first workshop on Service Composition with Semantic Web Services, pages 44–53, 2005.Google Scholar
  19. 19.
    S. C. Oh, B. W. On and E. J. Larson. Web Services Discovery and Composition as Graph Search Problem. In Proceedings of EEE05, pages 784–786, 2005.Google Scholar
  20. 20.
    Z. Qian, S. Lu and L. Xie. Mobile-Agent-Based Web Service Composition LNCS 3795, pages 35–46, 2005.Google Scholar
  21. 21.
    M. K. Smith, C. Welty and D. McGuinness. Owl Web Ontology Language Guide., 2003.
  22. 22.
    B. Srivastava and J. Koehler. Web Service Composition—Current Solutions and Open Problems. In Proceedings of ICAPS03, pages 28–35, 2003.Google Scholar
  23. 23.
    H. Sun, X. Wang and B. Zhou. Research and Implementation of Dynamic Web Services Composition. In Proceedings of APPT03, pages 457–466, 2003.Google Scholar
  24. 24.
    P. Traverso and M. Pistore. Automated Composition of Semantic Web Services into Executable Processes. In Proceedings of ISWC04, pages 380–394, 2004.Google Scholar
  25. 25.
    J. R. Velascol and S. F. Castillo. Mobile Agents for Web Service Composition. In Proceedings of EC-Web03, pages 135–144, 2003.Google Scholar
  26. 26.
    Z. Wu, J. Luo and A. Song. Qos-Based grid resource management. Journal of Software, 17(11):2264–2276, 2006.CrossRefGoogle Scholar
  27. 27.
    T. Yu and K. J. Lin. A Broker-Based Framework for QoS-Aware Web Service Composition. In Proceedings of EEE05, pages 22–29, 2005.Google Scholar
  28. 28.
    T. Yu, Y. Zhang and K. J. Lin. Efficient Algorithms for Web Services Selection with End-to-End QoS Constrains. ACM Transactions on the Web, 1(1), 2007.Google Scholar
  29. 29.
    L. Zeng, B. Benatallah and A. H. H. Ngu. QoS-aware Middleware for Web Services Composition. IEEE Transaction on Software Engineering, 30(5):311–327, 2004.CrossRefGoogle Scholar
  30. 30.
    L. Zhang, B. Li and T. Chao. On Demand Web Services-based Business Process Composition. In Proceedings of the IEEE International Conference on System, Man, and Cybernetics, pages 4057–4064, 2003.Google Scholar

Copyright information

© Springer-Verlag London 2010

Authors and Affiliations

  • Junzhou Luo
    • 1
    • 2
    Email author
  • Wei Li
    • 1
    • 2
  • Bo Liu
    • 1
    • 2
  • Xiao Zheng
    • 1
    • 2
  • Fang Dong
    • 1
    • 2
  1. 1.School of Computer Science and EngineeringSoutheast UniversityNanjingChina
  2. 2.Key Laboratory of Computer Network and Information IntegrationMinistry of EducationNanjingChina

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